4 дня назад
Staff Network Engineer (AI Platform)
1 - 1$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Network Engineer (AI Platform): Defining secure, supportable network architecture for Scale's enterprise AI platform across AWS, Azure, GCP, Kubernetes, and customer-controlled environments with an accent on private connectivity, traffic management, and customer-boundary delivery. Focus on converging per-customer designs, securing network access and egress for agent-sandbox workloads, and debugging complex hybrid and multi-cloud connectivity issues.
Location: San Francisco, CA, United States
Base salary range: $1–$1 USD for the listed San Francisco, New York, and Seattle locations.
Company
develops reliable AI systems, enterprise AI infrastructure, and full-stack technologies for organizations and government agencies.
What you will do
- Own network architecture and standards for the Generative AI Platform across AWS, Azure, GCP, and customer-controlled environments.
- Design and review VPCs, peering, DNS, load balancing, CDN and edge configurations, routing, VPNs, firewalls, ingress, and egress.
- Define standard connectivity between the platform control plane and customer data planes using private connectivity, VPNs, and reverse tunnels.
- Establish customer-boundary delivery patterns for code, images, artifacts, CI/CD, private registries, and ingress.
- Own engineer access, Kubernetes networking, service mesh, cloud CNI choices, and NetworkPolicy controls for untrusted agent-sandbox workloads.
- Partner with security engineering, debug hybrid and multi-cloud incidents, and document architecture, standards, and runbooks.
Requirements
- 5+ years of network engineering experience designing and operating production cloud networks.
- Deep expertise in at least two of AWS, Azure, and GCP, including VPC design, peering, hub-and-spoke topologies, private connectivity, and DNS.
- Strong Kubernetes networking expertise covering CNI, ingress, NetworkPolicy, and Istio/Envoy service mesh.
- Strong fundamentals in TCP/IP, BGP, routing, firewalls, site-to-site and client VPNs, and TLS.
- Experience defining and enforcing network standards, making build-versus-adopt decisions, and influencing teams without direct authority.
- Infrastructure-as-code proficiency, preferably Terraform, plus excellent communication skills.
Nice to have
- Experience with Cloudflare or similar edge and traffic-management platforms.
- Experience with network security and compliance in healthcare, finance, government, FedRAMP/GovCloud, and air-gapped environments.
Culture & Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Eligible roles may include equity compensation and a commuter stipend.
- Inclusive equal opportunity workplace with reasonable accommodation support.
Hiring process
- Compensation is determined during the interview process based on location, skills, experience, qualifications, and interview performance.
- Candidates must wait 90 days before being reconsidered for the same role.
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